Cadenas de Markov
Marvin Mendez
4/9/2017
Analysis de sensibilidad en el comportamiento de televidentes en periodos televisivos.
Este proyecto tiene como base el uso de cadenas de markov para identificar y predecir el comportamiento de televidentes o radioescuchar de programas populares en Guatemaltecos relacionados a debates publicos o temas de interes nacional.
No es nuevo el uso de las redes sociales para la interaccion con el usuario, esto ha conllevado a muchas personas a generar violencia entre otras, lo cual poder predecir el comportamiento de usuarios en la red social Twitter. Es un hecho que Twitter es una de las redes sociales en donde una gran cantidad de personas de cualquier ideologia, expresan sus pensamientos y decisiones diarias.
Con el fin de poder predecir la sensibilidad de los mensajes que expresan todos los usuarios, se realizo una cadena markov, en donde los estados representan a las palabras y cada una de ellas tiene una probabilidad a otros estados, existen 3 estados absorventes los cuales son Negativo, Neutral y Positivo, los cuales determinan el fin del analisis de una cadena.
Librerias
library( twitteR )
library(ROAuth)
library(NLP)
library(slam)
library(tm)
library(ggplot2)##
## Attaching package: 'ggplot2'## The following object is masked from 'package:NLP':
##
## annotate require(plyr)## Loading required package: plyr##
## Attaching package: 'plyr'## The following object is masked from 'package:twitteR':
##
## id require(stringr)## Loading required package: stringrAutenticación
setup_twitter_oauth(consumer_key , consumer_secret , access_token , access_secret )## [1] "Using direct authentication" resultado_cadena<-function(input,num){
resultados<-analysis(input,num)
ggplot(resultados,
aes(text.created, number)) + geom_line(aes(group=tweet, color=tweet), size=2) +
geom_point(aes(group=tweet, color=tweet), size=4) +
theme(text = element_text(size=18), axis.text.x = element_text(angle=90, vjust=1)) +
ggtitle(input)
} resultado_cadena("Guatevision",50)##
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resultado_cadena("Prensa Libre",50)##
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